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  • "Knowledge and Data" Driven AIGC in Brain Image Computing for Alzheimer's Disease Analysis

    A research team led by Prof. WANG Shuqiang from the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences introduced a Prior-Guided Adversarial Learning with Hypergraph (PALH) model for predicting abnormal connections in Alzheimer's disease.

    Jan 20, 2024
  • Artificial Intelligence Facilitates Tissue Substructure Identification from Spatial Resolved Transcriptomics

    A research team led by Prof. ZHANG Shihua from the Academy of Mathematics and Systems Science has proposed a new computational tool, STAGATE, to decipher tissue substructures from spatial resolved transcriptomics. The model uses artificial intelligence technology to integrate spatial location information and gene expression profile of spatial spots. In this algorithm, a graph attention autoencoder is introduced, with a graph attention mechanism in the middle hidden layer, which can learn the heterogeneous similarities between neighboring spots adaptively.

    Apr 02, 2022
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  • USTC Designs New Coupled Shear Surface Acoustic Wave Resonator at High Frequency

    A research team led by Prof. ZUO Chengjie from the University of Science and Technology of China of the Chinese Academy of Sciences developed a coupled Shear SAW (CS-SAW) resonator that utilizes two coupling coefficients of different directions.

    Apr 14, 2024
  • Schematic diagram of C4D microfluidic chip integrated 3D microelectrodes
    3D Microelectrode Chip Helps Soil Nutrient Analysis

    Researchers led by Prof. WANG Rujing and Assoc. Prof. CHEN Xiangyu from the Hefei Institutes of Physical Science, together with Prof. HONG Yan's research group from Anhui University of Science and Technology, have developed a novel microfluidic chip with capacitively coupled contactless conductivity detection integrated 3D microelectrodes to rapidly and quantitatively determine abundant nutrient ions in soil.

    Apr 02, 2024
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